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<a href="_precomputed_matrix_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       Precomputed version of a matrix for quadratic programming</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * \par</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * </span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * </span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * \author      T. Glasmachers</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * \date        2007-2012</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> *</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> *</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * </span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * </span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * </span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> * </span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment"> *</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="comment"> */</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#ifndef SHARK_LINALG_PRECOMPUTEDMATRIX_H</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="preprocessor">#define SHARK_LINALG_PRECOMPUTEDMATRIX_H</span></div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span> </div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#include &lt;<a class="code" href="_dataset_8h.html">shark/Data/Dataset.h</a>&gt;</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="preprocessor">#include &lt;<a class="code" href="_base_8h.html">shark/LinAlg/Base.h</a>&gt;</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span> </div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="preprocessor">#include &lt;cmath&gt;</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span> </div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span> </div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment"></span> </div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">///</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">/// \brief Precomputed version of a matrix for quadratic programming</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">///</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">/// The PrecomputedMatrix class computes all pairs of kernel</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment">/// evaluations in its constructor and stores them im memory.</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment">/// This proceeding is only viable if the number of examples</span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment">/// does not exceed, say, about 10000. In this case the memory</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="comment">/// demand is already \f$ 4 \cdot 10000^2 \approx 400\text{MB} \f$,</span></div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment">/// growing quadratically.</span></div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="comment">///</span></div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span><span class="comment">/// Use of this class may be beneficial for certain model</span></div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">/// selection strategies, in particular if the kernel is</span></div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">/// fixed and the regularization parameter is varied.</span></div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">///</span></div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment">/// Use of this class may, in certain situations, even mean a</span></div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="comment">/// loss is speed, compared to CachedMatrix. This is the case</span></div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span><span class="comment">/// in particular if the solution of the quadratic program is</span></div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span><span class="comment">/// sparse, in which case most entries of the matrix do not</span></div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span><span class="comment">/// need to be computed at all, and the problem is &quot;simple&quot;</span></div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span><span class="comment">/// enough such that the solver&#39;s shrinking heuristic is not</span></div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span><span class="comment">/// mislead.</span></div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span><span class="comment">///</span></div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> Matrix&gt;</div>
<div class="foldopen" id="foldopen00077" data-start="{" data-end="};">
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html">   77</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_precomputed_matrix.html" title="Precomputed version of a matrix for quadratic programming.">PrecomputedMatrix</a></div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>{</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#ad1c1324ed83e7f4f81a9f405e03ebe0f">   80</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> Matrix::QpFloatType <a class="code hl_typedef" href="classshark_1_1_precomputed_matrix.html#ad1c1324ed83e7f4f81a9f405e03ebe0f">QpFloatType</a>;</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span><span class="comment"></span> </div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span><span class="comment">    /// Constructor</span></div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span><span class="comment">    /// \param base  matrix to be precomputed</span></div>
<div class="foldopen" id="foldopen00084" data-start="{" data-end="}">
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#abea0cbaf28e2260105a01e2d1bac9098">   84</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#abea0cbaf28e2260105a01e2d1bac9098">PrecomputedMatrix</a>(Matrix* base)</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    : <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>(base-&gt;<a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a364ec759346a474311590ac8dd45093e" title="return the size of the quadratic matrix">size</a>(), base-&gt;<a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a364ec759346a474311590ac8dd45093e" title="return the size of the quadratic matrix">size</a>())</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>    {</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        base-&gt;matrix(<a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>);</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>    }</div>
</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    <span class="comment"></span></div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span><span class="comment">    /// \brief Computes the i-th row of the kernel matrix.</span></div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span><span class="comment">    ///The entries start,...,end of the i-th row are computed and stored in storage.</span></div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span><span class="comment">    ///There must be enough room for this operation preallocated.</span></div>
<div class="foldopen" id="foldopen00094" data-start="{" data-end="}">
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#a23d4a870760436710e017f9df9bf4e05">   94</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a23d4a870760436710e017f9df9bf4e05" title="Computes the i-th row of the kernel matrix.">row</a>(std::size_t k, std::size_t start,std::size_t end, <a class="code hl_typedef" href="classshark_1_1_precomputed_matrix.html#ad1c1324ed83e7f4f81a9f405e03ebe0f">QpFloatType</a>* storage)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        <span class="keywordflow">for</span>(std::size_t j = start; j &lt; end; j++){</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>            storage[j-start] = <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>(k, j);</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        }</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>    }</div>
</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span> </div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment"></span> </div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="comment">    /// \brief Return a subset of a matrix row</span></div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span><span class="comment">    /// \par</span></div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="comment">    /// This method returns an array with at least</span></div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment">    /// the entries in the interval [begin, end[ filled in.</span></div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span><span class="comment">    /// \param k      matrix row</span></div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span><span class="comment">    /// \param begin  first column to be filled in</span></div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span><span class="comment">    /// \param end    last column to be filled in +1</span></div>
<div class="foldopen" id="foldopen00110" data-start="{" data-end="}">
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#aa44b4d1498fefde0e18bad7fead45585">  110</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_precomputed_matrix.html#ad1c1324ed83e7f4f81a9f405e03ebe0f">QpFloatType</a>* <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#aa44b4d1498fefde0e18bad7fead45585" title="Return a subset of a matrix row.">row</a>(std::size_t k, std::size_t begin, std::size_t end)</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>    {</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        <span class="keywordflow">return</span> &amp;<a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>(k, begin);</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    }</div>
</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span><span class="comment"></span> </div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment">    /// return a single matrix entry</span></div>
<div class="foldopen" id="foldopen00116" data-start="{" data-end="}">
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#ac878d742d220a264960bf9228a150d1b">  116</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_precomputed_matrix.html#ad1c1324ed83e7f4f81a9f405e03ebe0f">QpFloatType</a> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#ac878d742d220a264960bf9228a150d1b" title="return a single matrix entry">operator () </a>(std::size_t i, std::size_t j)<span class="keyword"> const</span></div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#affc89e5345755891cb4351a6727635cb" title="return a single matrix entry">entry</a>(i, j); }</div>
</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span><span class="comment"></span> </div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span><span class="comment">    /// return a single matrix entry</span></div>
<div class="foldopen" id="foldopen00120" data-start="{" data-end="}">
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#affc89e5345755891cb4351a6727635cb">  120</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_precomputed_matrix.html#ad1c1324ed83e7f4f81a9f405e03ebe0f">QpFloatType</a> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#affc89e5345755891cb4351a6727635cb" title="return a single matrix entry">entry</a>(std::size_t i, std::size_t j)<span class="keyword"> const</span></div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>(i, j);</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    }</div>
</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span><span class="comment"></span> </div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span><span class="comment">    /// swap two variables</span></div>
<div class="foldopen" id="foldopen00126" data-start="{" data-end="}">
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#abd1fa57020581514752ebe16a7505b4c">  126</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#abd1fa57020581514752ebe16a7505b4c" title="swap two variables">flipColumnsAndRows</a>(std::size_t i, std::size_t j)</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>    {</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>    <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>.swap_rows(i, j);</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>.swap_columns(i, j);</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>    }</div>
</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span><span class="comment"></span> </div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span><span class="comment">    /// return the size of the quadratic matrix</span></div>
<div class="foldopen" id="foldopen00133" data-start="{" data-end="}">
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#a364ec759346a474311590ac8dd45093e">  133</a></span><span class="comment"></span>    std::size_t <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a364ec759346a474311590ac8dd45093e" title="return the size of the quadratic matrix">size</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>.size2(); }</div>
</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span><span class="comment"></span> </div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span><span class="comment">    /// for compatibility with CachedMatrix</span></div>
<div class="foldopen" id="foldopen00137" data-start="{" data-end="}">
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#a3e36ccd9be149aac6003fa1e92afb7db">  137</a></span><span class="comment"></span>    std::size_t <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a3e36ccd9be149aac6003fa1e92afb7db" title="for compatibility with CachedMatrix">getMaxCacheSize</a>()</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>.size1() * <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>.size2(); }</div>
</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span><span class="comment"></span> </div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span><span class="comment">    /// for compatibility with CachedMatrix</span></div>
<div class="foldopen" id="foldopen00141" data-start="{" data-end="}">
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#ae8113f8b0c9f0ddf618a50da2d692c55">  141</a></span><span class="comment"></span>    std::size_t <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#ae8113f8b0c9f0ddf618a50da2d692c55" title="for compatibility with CachedMatrix">getCacheSize</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a3e36ccd9be149aac6003fa1e92afb7db" title="for compatibility with CachedMatrix">getMaxCacheSize</a>(); }</div>
</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span><span class="comment"></span> </div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span><span class="comment">    /// for compatibility with CachedMatrix</span></div>
<div class="foldopen" id="foldopen00145" data-start="{" data-end="}">
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#aeac6f451c9fc15fb9c0d0b448af95816">  145</a></span><span class="comment"></span>    std::size_t <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#aeac6f451c9fc15fb9c0d0b448af95816" title="for compatibility with CachedMatrix">getCacheRowSize</a>(std::size_t k)<span class="keyword"> const</span></div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>.size2(); }</div>
</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>    <span class="comment"></span></div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span><span class="comment">    /// for compatibility with CachedMatrix</span></div>
<div class="foldopen" id="foldopen00149" data-start="{" data-end="}">
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#a39a2a5510b3f3727bcfa1cd5308a7447">  149</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a39a2a5510b3f3727bcfa1cd5308a7447" title="for compatibility with CachedMatrix">isCached</a>(std::size_t){</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="comment">    /// for compatibility with CachedMatrix</span></div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#ac06d00ae0e964df3463682ab34fcffbb">  153</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#ac06d00ae0e964df3463682ab34fcffbb" title="for compatibility with CachedMatrix">setMaxCachedIndex</a>(std::size_t n){}</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        <span class="comment"></span></div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span><span class="comment">    /// for compatibility with CachedMatrix</span></div>
<div class="foldopen" id="foldopen00156" data-start="{" data-end="}">
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#a84e83ea244a5ae6d7c3881a653541ee3">  156</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_precomputed_matrix.html#a84e83ea244a5ae6d7c3881a653541ee3" title="for compatibility with CachedMatrix">clear</a>()</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    { }</div>
</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span> </div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span><span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span><span class="comment">    /// container for precomputed values</span></div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"><a class="line" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2">  161</a></span><span class="comment"></span>    blas::matrix&lt;QpFloatType&gt; <a class="code hl_variable" href="classshark_1_1_precomputed_matrix.html#a18ea2737f45148dc0ddb5bdfdd3430e2" title="container for precomputed values">matrix</a>;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>};</div>
</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span> </div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>}</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span><span class="preprocessor">#endif</span></div>
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